CTEM & Risk-Based Vulnerability Management Bootcamp https://WebToolTip.com Published 9/2026
Created by Bayt Al Hikmah
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 112 Lectures ( 21h 18m ) | Size: 1.2 GB
From severity-score guesswork to evidence-validated remediation — a full CTEM platform, built and scored end-to-end.
What you'll learn
⚡ Architect a full CTEM data platform in PostgreSQL and FastAPI — asset inventory, findings, vulnerability intelligence, and risk scoring.
⚡ Engineer a composite risk-scoring formula that combines CVSS, EPSS, KEV, asset criticality, and internet exposure into a governed, config-driven model.
⚡ Ingest and normalize scanner output from Trivy, Grype, Syft, Semgrep, Gitleaks, and Nuclei into one unified exposure schema, with SBOM/VEX handling built in.
⚡ Validate exploitability safely — HTTP reachability checks, template-based Nuclei scans, and confidence-scored evidence — against owned lab targets onlly.
⚡ Govern risk acceptance, false-positive suppression, and compensating controls with expiration dates, approvers, and full audit trails instead of silent ticket.
⚡ Automate the remediation lifecycle — SLA due dates by priority band, owner queues, ticket creation, and SLA-breach reporting that engineering teams.
⚡ Deploy the platform on Kubernetes with OPA Gatekeeper policy enforcement, IaC scanning (Terraform/OpenTofu), and GitOps-style change control.
⚡ Operate it like production: structured JSON logging, Prometheus-style metrics, backup/restore drills, and a documented disaster-recovery runbook.
⚡ Design for sovereignty and compliance — data classification, tenant/region isolation, audit logging, and governed AI-assisted triage with strict human-approval.
⚡ Deliver a capstone-grade sovereign CTEM platform: a final risk queue, validated evidence, SLA reporting, and a compliance-ready governance blueprint.
Requirements
❗ Knowledge: Basic comfort with a terminal and copy-pasting commands. No prior vulnerability management, SQL, or security tooling experience required — every lab starts from a pre-flight check and builds up. Basic SQL reading ability helps but isn't required; every query is explained in plain language before you run it. No prior DevSecOps, cloud, or Kubernetes background needed — Modules 6 and 9 build those skills from a local, disposable Kind cluster. Software (all free/open-source): Docker and Docker Compose, Git, Make, Python 3.10+, curl. PostgreSQL (run via the provided Docker Compose file — no separate install needed). Open-source scanning tools used via containers: Trivy, Grype, Syft, Semgrep, Gitleaks, Nuclei (all pulled automatically in labs — no license or account required). Optional for Modules 6/9: kind and kubectl for local Kubernetes labs (a lightweight local cluster, not a cloud account). Hardware: 20GB+ free disk space and at least 8GB RAM recommended (PostgreSQL + scanner containers + optional Kind cluster running together). No cloud account, no paid scanner licenses, and no access to real production infrastructure required — every lab uses seeded/synthetic asset and vulnerability data.